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Record W4389372467 · doi:10.1136/medhum-2023-012730

Empowering the next generation: integrating adolescents into the Reproductive Justice movement

2023· article· en· W4389372467 on OpenAlexafffund
Julien Brisson, Mellissa Withers

Bibliographic record

VenueMedical Humanities · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité de MontréalPublic Health OntarioUniversity of Toronto
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsEconomic JusticeAutonomyReproductive healthContext (archaeology)AbortionReproductive justiceHealth careMedicineSociologyNursingPsychologyPublic relationsPopulationPolitical scienceEnvironmental healthLawPregnancy

Abstract

fetched live from OpenAlex

This article explores the ethical implications of mandatory parental consent requirements for adolescents seeking sexual and reproductive health services (SRHS). Using a Reproductive Justice framework, which identifies systemic barriers to accessing healthcare services, we examine ageism as a potential factor restricting adolescents' access to SRHS. While the Reproductive Justice framework has addressed systemic issues like racism and ableism in healthcare, ageism involving adolescents has been less explored. The article challenges the pertinence of mandatory parental consent requirements-as a potential barrier-for adolescents' access to SRHS. We argue that in the specific context of SRHS (contraceptives, abortion, testing and treatment of sexually transmitted infections), adolescents' autonomy (self-determination) should be respected if they request to access those services independently. From a global health perspective, adolescents have a low prevalence and uneven access to SRHS. To address the issue, we propose the integration of adolescence into the Reproductive Justice movement to empower them through education on how to access the SRHS they need.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.012
Scholarly communication0.0050.005
Open science0.0010.011
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.134
GPT teacher head0.370
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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